scholarly journals Examination of Control Parameters for Medical Grade Insulin Pump

2019 ◽  
Vol 9 (1S3) ◽  
pp. 19-22
Keyword(s):  
Pid Controller ◽  
Control Algorithm ◽  
Insulin Pump ◽  
Infusion Pump ◽  
Control Parameters ◽  
Proportional Integral Derivative ◽  
Linear Quadratic ◽  
Linear Quadratic Gaussian ◽  
Electro Motive Force ◽  
Selection Of

In this work, an attempt has been made to identify the appropriate parameters of Permanent Magnet Direct Current (PMDC) motor for infusion pump. PMDC motor plays important role in medical devices. In this, selection of parameters such as rotor inertia, armature resistance, armature inductance and back electro motive force constant is crucial that help to achieve the required speed. The proposed work uses PID controller (Proportional Integral Derivative) and LQG (Linear-Quadratic Gaussian) control algorithm to evaluate the parameters for transient response of the PMDC motor. It is demonstrated that the chosen parameters are able to reach the required speed with quick rise time by 0.691 seconds by employing LQG.

Motion control of a cruise ship by using active stabilizing fins

2011 ◽  
Vol 225 (4) ◽  
pp. 311-324 ◽  
Author(s):  
J-H Kim ◽  
Y-H Kim
Keyword(s):  
Motion Control ◽  
Control Algorithm ◽  
Roll Motion ◽  
Cruise Ship ◽  
Linear Quadratic ◽  
Linear Quadratic Gaussian ◽  
Lqg Control ◽  
Induced Motion ◽  
The Time Domain ◽  
Wave Induced

The present study considers the motion control of a cruise ship by using active stabilizing fins. One or two pairs of stabilizing fins are equipped to reduce the roll and/or pitch motions of the cruise ship. Each fin is controlled by algorithms based on proportional–integral–derivative (PID) and linear quadratic Gaussian (LQG) control. Numerical analysis of the wave-induced motion of a cruise ship with stabilizing fins is carried out by using the time-domain ship motion program which has been developed through this study. The resultant motion response as the performance of each controller is compared between different control algorithms. Based on the present simulation results, the stabilizing fin can be considered a good instrument to reduce pitch motion as well as roll motion of the present cruise ship model. The present results show that the PID control algorithm, a simple but practical algorithm, can be an appropriate method to reduce the roll motion in a moderate sea state, while the LQG control algorithm shows good performance in reducing not only the roll motion but also the coupled roll and pitch motions simultaneously in all of environmental conditions considered.

scholarly journals Diabetics blood glucose control based on GA-FOPID technique

2021 ◽  
Vol 10 (1) ◽  
pp. 516-523
Author(s):  
Wesam M. Jasim ◽  
Yousif I. Al Mashhadany
Keyword(s):  
Glucose Level ◽  
Pid Controller ◽  
Insulin Pump ◽  
Optimization Technique ◽  
Blood Glucose Control ◽  
The Other ◽  
Optimal Controller ◽  
Pid Controllers ◽  
Diabetic Patients ◽  
Proportional Integral Derivative

In this paper, an optimized Fractional Order Proportional, Integral, Derivative based Genetic Algorithm GA-FOPID optimization technique is proposed for glucose level normalization of diabetic patients. The insulin pump with diabetic patient system used in the simulation is the Bergman minimal model, which is used to simulate the overall system. The main purpose is to obtain the optimal controller parameters that regulate the system smoothly to the desired level using GA optimization to find the FOPID parameters. The next step is to obtain the FOPID controller parameters and the traditional PID controller parameters normally. Then, the simulation output results of using the proposed GA-FOPID controller was compared with that of using the normal FOPID and the traditional PID controllers. The comparison shows that all the three controllers can regulate the glucose level but the use of GA-FOPID controller was outperform the use of the other two controllers in terms of speed of normalization and the overshoot value.

Design and Experimental Evaluation of a Data-Oriented Generalized Predictive PID Controller

2016 ◽  
Vol 28 (5) ◽  
pp. 722-729 ◽  
Author(s):  
Zhe Guan ◽  
◽  
Shin Wakitani ◽  
Toru Yamamoto ◽  
Keyword(s):  
Predictive Control ◽  
Pid Controller ◽  
Control Design ◽  
Point Of View ◽  
Generalized Predictive Control ◽  
Control Law ◽  
Control Parameters ◽  
Proportional Integral Derivative ◽  
Molding Machine ◽  
Output Data

[abstFig src='/00280005/15.jpg' width='300' text='Schematic figure of data-oriented GPC-PID controller' ] This paper presents a data-oriented technique for designing a proportional-integral-derivative (PID) controller based on a generalized predictive control law for linear unknown systems. In several control design approaches, a model-based control theory, which requires accurate modeling and identification of the plant, is used to calculate the control parameters. However, in higher-order systems and/or systems with an unknown time delay such as chemical industries and thermal industries, it is difficult to model or identify the plant accurately. Over the last decade, data-oriented techniques in which the online or offline data are utilized have been attracting considerable attention. Designing the controllers for unknown plants based on only the input/output data is the main feature of this technique. In this study, controller parameters are first obtained by using a generalized predictive control law with the data-oriented technique, and are converted to PID parameters from the practical point of view. The proposed method is validated experimentally using a real injection-molding machine. The results demonstrate the efficiency of the proposed method.

Operation characteristics and methods of the hydraulic power take-off system

2020 ◽  
pp. 014233122093435
Author(s):  
Qijuan Chen ◽  
Donglin Yan ◽  
Yang Zheng ◽  
Xuhui Yue ◽  
Dazhou Geng
Keyword(s):  
Rotational Speed ◽  
Pid Controller ◽  
Vital Role ◽  
Control Parameters ◽  
Proportional Integral Derivative ◽  
Hydraulic Power ◽  
Basic Model ◽  
Test Platform ◽  
Visible Effect ◽  
Operation Characteristics

The power take-off system plays a vital role in the wave energy generating unit. Here, for studying the operation characteristics and methods of the hydraulic power take-off system, its basic model is built relying on the operating principles of every component. Meanwhile, a proportional–integral–derivative (PID) controller is also designed to regulate the rotational speed of the motor. Then, a test platform for the hydraulic power take-off system is constructed to verify the correctness of the model. Fortunately, based on model analyses, some useful results are found. Firstly, the PID controller has a visible effect on stabilizing the rotational speed. In addition, a group of optimal control parameters are obtained. Secondly, the influences of the displaced volume on the operation characteristics of the hydraulic power take-off system are found. Meanwhile, the optimal displaced volume is also presented by weighing the efficiency and stability. Finally, the operation modes and regions of the hydraulic power take-off system are obtained, and its rationality is also proved by a simulated running of the system. More importantly, these results can provide a reference to the design and operation of the hydraulic power take-off system.

Design of a performance-adaptive proportional—integral—derivative controller for stochastic systems

2008 ◽  
Vol 222 (7) ◽  
pp. 691-700 ◽  
Author(s):  
T Yamamoto ◽  
Y Ohnishi ◽  
S L Shah
Keyword(s):  
Process Model ◽  
Stochastic Systems ◽  
Proportional Integral Derivative ◽  
Linear Quadratic ◽  
Linear Quadratic Gaussian ◽  
Adaptive Controllers ◽  
Proportional Integral Derivative Controller ◽  
Control Loops ◽  
Proportional Integral ◽  
Control Scheme

In order to manufacture high-quality products it is necessary to regularly monitor the performance of the control loops that regulate the quality variables of interest. This paper describes a design scheme of performance-adaptive controllers which are based on the above control strategy. According to the proposed control scheme, the output prediction error is monitored regularly and system identification is initiated if this error exceeds a user-defined threshold. Subsequently proportional—integral—derivative (PID) parameters are updated for the new model. Optimal PID parameters are calculated based on the linear quadratic Gaussian (LQG) trade-off curve obtained for the reidentified process model. The behaviour of the proposed control scheme is numerically evaluated by some simulation examples.

scholarly journals Robust Performance of PID Controller by using Artificial Intelligence

2018 ◽  
Author(s):  
Shachi Tiwary ◽  
Ashraf Jafri ◽  
Kushal Tiwari ◽  
Richa Tiwari ◽  
Chaman Yadav
Keyword(s):  
Pid Controller ◽  
Dynamic Behaviour ◽  
Design Method ◽  
Pso Algorithm ◽  
Proportional Integral Derivative ◽  
Robust Performance ◽  
Bacterial Foraging Optimization ◽  
Swarm Optimization ◽  
Modern Methods ◽  
Selection Of

This paper is meant to design method for determining the optimal proportional-integral-derivative (PID) controller parameters of plant system using the particle swarm optimization (PSO) algorithm and bacterial Foraging Optimization (BFO). There are several methods which are used to tune the controller parameters. They are categorized into two types known as classical methods and modern methods. In this paper the use of PSO method tuned the PID parameter to make them more general and to achieve the steady state error limit, also to improve the dynamic behaviour of the system. The performance and design criteria of automatic selection of controller constants are discussed below.

scholarly journals Optimized LQR-PID Controller Using Squirrel Search Algorithm for Trajectory Tracking of a 6-DoF Parallel Manipulator

2021 ◽  
Author(s):  
Chandan Choubey ◽  
Jyoti Ohri
Keyword(s):  
Trajectory Tracking ◽  
Pid Controller ◽  
Parallel Manipulator ◽  
Search Algorithm ◽  
Linear Quadratic Regulator ◽  
Absolute Error ◽  
Minimal Cost ◽  
Proportional Integral Derivative ◽  
Linear Quadratic ◽  
Mean Velocity

Abstract In 6 Degree of Freedom (DOF) parallel manipulator, trajectory tracking is one of the main challenges. To obtain the desired trajectory, the DC motor needs to generate optimal torque. So to obtain optimal torque, an optimized Linear Quadratic Regulator-Proportional–Integral–Derivative (LQR-PID) controller is presented in this paper. For optimizing the Q, R and gain parameters of LQR-PID controller, Squirrel Search Algorithm (SSA) is presented. In this algorithm, minimal cost function of LQR-PID controller is considered as objective function. The SSA based LQR-PID controller leads the motor to generate optimal torque that helps to attain the desired trajectory of 6-DOF parallel manipulator. Results of the work depicts that the SSA based LQR-PID controller achieves the best mean velocity, sum square error (SSE), integral square error (ISE) and integral absolute error (IAE).

Self-Tuning Neuro-PID Controller for Indoor Entertainment Balloon Robot

2018 ◽  
Vol 30 (3) ◽  
pp. 390-396
Author(s):  
Hiroya Nagata ◽  
Soichiro Yokoyama ◽  
Tomohisa Yamashita ◽  
Hiroyuki Iizuka ◽  
Masahito Yamamoto ◽  
...  
Keyword(s):  
Pid Controller ◽  
Control Algorithm ◽  
Pid Controllers ◽  
Proportional Integral Derivative ◽  
Target Trajectory ◽  
Self Tuning ◽  
Classical Control ◽  
Changes Over Time ◽  
Exact Ideal ◽  
Over Time

Proportional-integral-derivative (PID) controllers are a classical control algorithm that are still widely used owing to their simplicity and accuracy. However, tuning the three parameters is difficult. No methods have been known to determine the exact ideal combination of the P, I, and D gains. Moreover, controlling a system that contains dynamics changes over time using fixed parameters is difficult. A self-tuning neuro-PID controller is applied to a balloon robot for indoor entertainment to enhance its accuracy in following a target trajectory. Our experiment shows the effectiveness of the neuro-PID controller over conventional hand-tuned PID controller.

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